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ORIGINAL RESEARCH article

Front. Built Environ.
Sec. Transportation and Transit Systems
Volume 10 - 2024 | doi: 10.3389/fbuil.2024.1396578

Identification of Optimal Accelerometer Placement on Trains for Railway Switch Wear Monitoring via Multibody Simulation Provisionally Accepted

 Zhicheng Hu1*  Albert Lau2  Jian Dai3 Gunnstein T. Frøseth4
  • 1Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, Norway
  • 2Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, Norway
  • 3Department of Built Environment, Oslo Metropolitan University, Norway
  • 4Department of Structural Engineering, Norwegian University of Science and Technology, Norway

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Accelerometers play a crucial role in the railway industry, especially in track monitoring.Traditionally, they are placed on the railway tracks or often on bridges to monitor the health and condition of the infrastructure. Recently, there has been an increased focus on using regular trains to monitor the condition of railway infrastructure. Often, the sensors are placed based on certain assumptions without much scientific evidence or support. This paper utilizes the multibody simulation software GENSYS to identify the optimal placement of accelerometers on a passenger train for monitoring railway switch wear. Switch wear profiles were generated systematically and used as input for the simulations, studying acceleration at a total of 93 locations distributed among the wheelsets, bogies, and carbody. Based on both time and frequency domain analyses, optimal sensor locations were identified, generally close to the first bogie or wheelset at the leading carbody. Accelerations generated by the wheelset passing the switch can also be captured in the carbody, but it is important to note that these are several orders lower in magnitude compared to the acceleration on the wheelset. If accelerometers are to be placed in the carbody, correct sensitivity must be chosen, and a high-pass filter should be applied to capture the acceleration signals associated with switch wear. The study confirms that there is a direct correlation between the depth of switch wear and the magnitude of the acceleration. It remains effective even under various curve radii and train speeds.

Keywords: accelerometers, Optimal sensor placement, Railway switches, wear, switch monitoring

Received: 05 Mar 2024; Accepted: 17 Apr 2024.

Copyright: © 2024 Hu, Lau, Dai and Frøseth. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mx. Zhicheng Hu, Norwegian University of Science and Technology, Department of Civil and Environmental Engineering, Trondheim, Norway